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學生對 哥伦比亚大学 提供的 Causal Inference 2 的評價和反饋

3.4
14 個評分
6 條評論

課程概述

This course offers a rigorous mathematical survey of advanced topics in causal inference at the Master’s level. Inferences about causation are of great importance in science, medicine, policy, and business. This course provides an introduction to the statistical literature on causal inference that has emerged in the last 35-40 years and that has revolutionized the way in which statisticians and applied researchers in many disciplines use data to make inferences about causal relationships. We will study advanced topics in causal inference, including mediation, principal stratification, longitudinal causal inference, regression discontinuity, interference, and fixed effects models....
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1 - Causal Inference 2 的 6 個評論(共 6 個)

創建者 Ang K J

2020年8月24日

Reading off the slides, no real explanation of concepts or notes provided.

創建者 Samuel D

2020年4月5日

No engaging. Unable to complete the tasks

創建者 Seethu S

2020年11月27日

Excellent treatment of mediation, regression discontinuity, longitudinal causal inference, interference and fixed effects. This course has whetted my appetite to dig in to the relevant statistics literature in more detail. The potential outcomes framework is so powerful in terms of delineating causal assumptions and clearly setting up identification conditions for empirical estimation of causal effects.

創建者 Huyen N

2020年5月1日

This course is painful. Lots of dry maths with no relatable examples. Difficult to follow.

創建者 Weijia C

2020年8月16日

Too few and easy assessment questions that does not help understand the course much

創建者 Vikram M

2019年10月21日

Terrible